@jewelory

Statistical power analysis is crucial for blockchain transaction graph deanonymization. It assesses the probability of correctly identifying entities in transaction graphs, considering factors like graph size, node degrees, and transaction patterns. Adequate statistical power ensures reliable deanonymization results, reducing false positives and negatives. By determining the minimum sample size and effect size, researchers can optimize analysis efficiency. This analysis is vital for regulatory compliance, fraud detection, and enhancing blockchain transparency. Accurate deanonymization supports informed decision-making and contributes to a safer and more trustworthy blockchain ecosystem.

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